Evidence map›Paper›PMID 36119372›Full record

ArticleCurrent research in food science2022

Microbes associated with spontaneous cacao fermentations - A systematic review and meta-analysis.

Alexander J Taylor, Eduardo Cardenas-Torres, Michael J Miller, Sihai Dave Zhao, Nicki J Engeseth

Abstract read
In one paragraph

Article in Current research in food science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Cocoa Honey (ACS omega · 2026
    Review
  2. Article
  3. Foods (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexander J TaylorDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, USA.
Eduardo Cardenas-TorresDepartment of Statistics, University of Illinois at Urbana-Champaign, USA.
Michael J MillerDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, USA.
Sihai Dave ZhaoDepartment of Statistics, University of Illinois at Urbana-Champaign, USA.
Nicki J EngesethDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chocolate is a product of the fermentation of cacao beans. Performed on-farm or at local cooperatives, these are spontaneous cacao fermentations (SCFs). To better understand SCFs, this study sought to identify SCF microbes, their interrelationships, and other key parameters that influence fermentation. This is important because differences in fermentation can have an impact on final product quality. In this study, a systematic data extraction was performed, searching for literature that identified microbes from SCFs. Each unique microbe, whether by location or by fermentation material, was extracted from the articles, along with parameters associated with fermentation. Data were collected and analyzed for three interactions: microbe-to-geography, microbe-to-fermentation method, and microbe-to-microbe. The goal was to attribute microbes to geographical locations, fermentation materials, or to other microbes. Statistically significant relationships will reveal target areas for future research. Over 1700 microbes (440 unique species) were identified across 60 articles. The top three countries represented are Brazil (22 articles, n = 612 microbes), the Ivory Coast (14 articles, n = 237), and Ghana (10 articles, n = 257). Several countries were far less, or never represented, and should be considered for future research. No specific relationship was identified with microbes to either geographical location or fermentation method. Using a Presence-Absence chart, 127 microbe-to-microbe interactions were identified as statistically significant. Data extraction into SCF research has revealed major gaps of knowledge for the cacao microbiome. By better understanding the cacao microbiome, researchers will be able to identify key microbes and fermentation parameters to better influence the fermentation.

Indexed as

Acetic acid bacteriaBrazilCD, Culture DependentChocolateCI, Culture IndependentCocoaFF, Filamentous fungiLactic acid bacteriaMicrobiotaSCFs, Spontaneous cacao fermentationsVOCs, Volatile organic compoundsYeast

Identifiers

PMID36119372
PMCPMC9478497

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.